Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach
出版年份 2016 全文链接
标题
Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach
作者
关键词
-
出版物
ACADEMIC EMERGENCY MEDICINE
Volume 23, Issue 3, Pages 269-278
出版商
Wiley
发表日期
2015-12-18
DOI
10.1111/acem.12876
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Exploring the Potential of Predictive Analytics and Big Data in Emergency Care
- (2016) Alexander T. Janke et al. ANNALS OF EMERGENCY MEDICINE
- Predictive accuracy and feasibility of risk stratification scores for 28-day mortality of patients with sepsis in an emergency department
- (2015) Michelle J.M. Hilderink et al. European Journal of Emergency Medicine
- The Role of Physicians in the Era of Predictive Analytics
- (2015) Allan D. Sniderman et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination
- (2015) George C.M. Siontis et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Systemic Inflammatory Response Syndrome Criteria in Defining Severe Sepsis
- (2015) Kirsi-Maija Kaukonen et al. NEW ENGLAND JOURNAL OF MEDICINE
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
- (2015) G. S. Collins et al. BMJ-British Medical Journal
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
- (2015) G. S. Collins et al. BMJ-British Medical Journal
- Methodologic Standards for Interpreting Clinical Decision Rules in Emergency Medicine: 2014 Update
- (2014) Steven M. Green et al. ANNALS OF EMERGENCY MEDICINE
- The Legal And Ethical Concerns That Arise From Using Complex Predictive Analytics In Health Care
- (2014) I. Glenn Cohen et al. HEALTH AFFAIRS
- Big Data And New Knowledge In Medicine: The Thinking, Training, And Tools Needed For A Learning Health System
- (2014) Harlan M. Krumholz HEALTH AFFAIRS
- Implementing Electronic Health Care Predictive Analytics: Considerations And Challenges
- (2014) Ruben Amarasingham et al. HEALTH AFFAIRS
- Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
- (2014) David W. Bates et al. HEALTH AFFAIRS
- 1034
- (2013) Vincent Liu et al. CRITICAL CARE MEDICINE
- The Inevitable Application of Big Data to Health Care
- (2013) Travis B. Murdoch et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records
- (2013) Kenney Ng et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Measuring the modified early warning score and the Rothman Index: Advantages of utilizing the electronic medical record in an early warning system
- (2013) G. Duncan Finlay et al. Journal of Hospital Medicine
- From Mindless to Mindful Practice — Cognitive Bias and Clinical Decision Making
- (2013) Pat Croskerry NEW ENGLAND JOURNAL OF MEDICINE
- Risk prediction models: II. External validation, model updating, and impact assessment
- (2012) Karel G M Moons et al. HEART
- Predicting Anatomical Therapeutic Chemical (ATC) Classification of Drugs by Integrating Chemical-Chemical Interactions and Similarities
- (2012) Lei Chen et al. PLoS One
- Random Forests Classification Analysis for the Assessment of Diagnostic Skill
- (2010) James D. Katz et al. AMERICAN JOURNAL OF MEDICAL QUALITY
- Variable selection using random forests
- (2010) Robin Genuer et al. PATTERN RECOGNITION LETTERS
- Validation, updating and impact of clinical prediction rules: A review
- (2008) D.B. Toll et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Exploiting missing clinical data in Bayesian network modeling for predicting medical problems
- (2007) Jau-Huei Lin et al. JOURNAL OF BIOMEDICAL INFORMATICS
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